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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 1324
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    subreddits

    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     SOS
    -0.67
     Nieto
    -0.67
    creen
    -0.66
     Cotton
    -0.66
     Reloaded
    -0.66
     Mile
    -0.65
     CPR
    -0.64
     Corpus
    -0.63
     GPS
    -0.63
     Pom
    -0.63
    POSITIVE LOGITS
    outine
    1.39
    ussia
    1.34
    iding
    1.25
    outing
    1.22
    uling
    1.21
    ansom
    1.21
    abbit
    1.18
    ussian
    1.18
    ifles
    1.17
    aspberry
    1.17
    Activations Density 0.044%

    No Known Activations